Jobs at Suki

Own the functionality, integration, performance, and stress-testing roadmap for an AI/ML healthcare platform. Develop automated tests, frameworks, tools, and processes across web, mobile, and backend systems. Investigate testing approaches for AI/ML applications, improve coverage and automation, diagnose bugs, create test plans, refine acceptance criteria, and support the full software lifecycle. Collaborate with engineering, product, design, operations, and release teams while mentoring junior engineers and working independently.

Develop and manage sales onboarding, self-paced and instructor-led training, AI sales simulations, enablement platforms, and RFP response processes. Partner with sales, customer success, product marketing, and executives to deliver consistent messaging, improve pitch and objection-handling skills, and support product updates. The role requires strong project management, cross-functional influence, communication, Salesforce, Google Suite, and five years of sales enablement experience.

Own execution for an engineering pod by running Agile ceremonies, maintaining accurate work tracking, reporting status and risks, and managing delivery metrics. Drive spec-driven development, improve cycle time and backlog health, and champion process, tooling, and AI-assisted productivity improvements. Partner with Product, Engineering, ML, QA, Design, and leadership to make software delivery predictable, measurable, and scalable.

Lead mobile-first test engineering: own end-to-end mobile test strategy and automation (iOS/Android), extend coverage to web and backend (REST/gRPC/GraphQL), build performance and event-driven tests, integrate suites into CI/CD, mentor engineers, drive test architecture, and apply AI/LLM tools to improve testing lifecycle.

Own billing and contract systems across Salesforce and Chargebee, including account setup, revenue schedules, licenses, pricing changes, invoices, credit memos, and customer billing data. Conduct quarterly data audits, respond to payment and reconciliation inquiries, and support month-end collections. Coordinate with Sales, Customer Success, Finance, and Support to maintain accurate systems of record and smooth customer onboarding.

Own Suki’s growth product strategy by defining activation, engagement, and retention metrics; analyzing funnels; building dashboards; instrumenting events; designing experiments; and translating insights into product requirements and roadmap priorities. Partner with Engineering, Data, Customer Success, Sales, and clinical stakeholders to improve clinician adoption and retention in a B2B SaaS healthcare environment.

The Senior Machine Learning Engineer will develop NLP solutions, manage datasets, optimize performance metrics, and work on ML applications for healthcare.

Build and deploy customer integrations using Suki Platform APIs and SDKs. Scope customer needs, design solutions combining dictation and generative AI capabilities, estimate timelines, deploy distributed applications across on-premises and cloud environments, and guide implementations through production. Translate technical decisions for clinical, executive, and engineering stakeholders while relaying customer feedback to internal engineering and data science teams.

Lead Suki’s end-to-end demand generation strategy across customer segments and revenue streams. Build acquisition and expansion programs, refine audiences and account targeting, develop new channels, and coordinate integrated campaigns across paid, digital, content, events, ABM, and executive engagement. Partner with Sales and senior commercial leaders to connect marketing activity to pipeline and revenue. Diagnose funnel performance, run experiments, optimize investments, and establish measurement across engagement, opportunities, expansion, and revenue.